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I am trying to directly generate realizations of stochastic processes via spectral representation method, using the following code snipped:
```
ω = collect(0:0.6:150)
cp = CloughPenzien(ω, 0.1,…
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> Pertinent to above and @seabbs comment on using `upjitter`. Using the softplus transform instead of an upjitter (or clamp to do relu) stabilises the sampling. Also, using `LogExpFunctions.xexpy` to …
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I have a concern for two of the operations related to `sympy.stats.stochastic_process_types.py`.
The two operations are simplification and differentiation.
```python
from sympy import *
from s…
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In ray-tracing the code just checks what is the next boundary. Then it retrieves the potential physical processes that can happen on the boundary. However Rayleigh scattering and other processes happe…
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Oscillators must be initialized by a (smooth) stochastic process. See Leon 2015 appendix C.
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## Background
There are two traits in the Stochastics module, `StochasticProcess` and `StochasticVolatilityProcess`. The two traits utilise the Euler-Maruyama scheme through methods `euler_maruyama…
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I would like to compute the maximum likelihood path (MLP) of an underdamped stochastic ordinary system. Suppose we SDE of the form:
```math
x^{\prime}(t)=f(x(t))+\varepsilon \eta(t) .
```
with $\e…
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We will commence a peer review and error checking process from 07th October 2024
This Issue is to record who is working on what lecture for `peer-reviews` and error checking, please self assign.
…
mmcky updated
39 minutes ago
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Most of methods in the list will be implemented in the order.
- inference for Sparse Gaussian process regression (based on JMLR 2005 "A unifying view of sparse approximate Gaussian process regression…
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Hi!
I'm new to model-based reinforcement learning and thanks for your contribution to Pytorch users.
I tried to read your code to understand the logistics of dreamerv3 but found some details ar…